Prediction of the effect of chemical composition of electrolyte
on the thickness of anodic aluminium oxide layer

J 2014

Prediction of the effect of chemical composition of electrolyte on the thickness of anodic aluminium oxide layer

MICHAL, Peter, Alena VAGASKÁ, Miroslav GOMBÁR, Ján KMEC, Emil SPIŠÁK et. al.

Basic information

Original name

Prediction of the effect of chemical composition of electrolyte on the thickness of anodic aluminium oxide layer

Name in Czech

Predikce vlivu chemického složení elektrolytu o tloušťce anodové vrstvy oxidu hlinitého

Authors

MICHAL, Peter (703 Slovakia, guarantor), Alena VAGASKÁ (703 Slovakia), Miroslav GOMBÁR (703 Slovakia), Ján KMEC (703 Slovakia, belonging to the institution), Emil SPIŠÁK (703 Slovakia) and Miroslav BADIDA (703 Slovakia)

Edition

International Journal of Mathematical Models and Methods in Applied Sciences, USA, North Atlantic University Union NAUN, 2014, 1998-0140

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10405 Electrochemistry

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

RIV identification code

RIV/75081431:_____/14:00000431

Organization unit

Institute of Technology and Business in České Budějovice

Keywords (in Czech)

Hliníkové eloxování; Návrh experimentů; predikční model

Keywords in English

Aluminium anodic oxidation; Design of experiments; Prediction model

Abstract

ORIG CZ

V originále

The paper describes some possibilities of control of technological process of anodic aluminium oxidation based on the experimental study and investigation of the influence of chemical composition of the used electrolytes on the thickness of the formed oxide layer. The influence of individual factors acting during the anodic oxide process has been investigated and based on the experimental results the prediction model was developed by the usage of neural networks, especially the cubic neural unit. The developed prediction model determines the layer thickness at surface current density 1 A·dm-2. The reliability of the developed model is 72.53 % with predetermined tolerance range of ±2·10-3 mm.

In Czech

Článek popisuje některé možnosti řízení technologického procesu anodické oxidace hliníku, vztaženo na experimentální studie a zkoumání vlivu chemického složení použitých elektrolytů o tloušťce vytvořené vrstvy oxidu.Vliv jednotlivých faktorů působících v průběhu procesu anodické oxidové byl zkoumán a na základě experimentálních výsledků byl vyvinut predikční model použitím neuronových sítí, zejména na krychlový nervové jednotky.Vyvinutý predikční model určuje tloušťku vrstvy na povrchu proudové hustotě 1 • dm-2.Spolehlivost vyvinutého modelu je 72,53% s předem stanovenou tolerancí ± 2 • 10-3 mm.

Citovat

MICHAL, Peter, Alena VAGASKÁ, Miroslav GOMBÁR, Ján KMEC, Emil SPIŠÁK and Miroslav BADIDA. Prediction of the effect of chemical composition of electrolyte on the thickness of anodic aluminium oxide layer. International Journal of Mathematical Models and Methods in Applied Sciences. USA: North Atlantic University Union NAUN, 2014, vol. 8, No 1, p. 152-155. ISSN 1998-0140.

@article{25781,
   author = {Michal, Peter and Vagaská, Alena and Gombár, Miroslav and Kmec, Ján and Spišák, Emil and Badida, Miroslav},
   article_location = {USA},
   article_number = {1},
   keywords = {Aluminium anodic oxidation; Design of experiments; Prediction model},
   language = {eng},
   issn = {1998-0140},
   journal = {International Journal of Mathematical Models and Methods in Applied Sciences},
   title = {Prediction of the effect of chemical composition of electrolyte on the thickness of anodic aluminium oxide layer},
   volume = {vol. 8},
   year = {2014}
}

TY  - JOUR
ID  - 25781
AU  - Michal, Peter - Vagaská, Alena - Gombár, Miroslav - Kmec, Ján - Spišák, Emil - Badida, Miroslav
PY  - 2014
TI  - Prediction of the effect of chemical composition of electrolyte on the thickness of anodic aluminium oxide layer
JF  - International Journal of Mathematical Models and Methods in Applied Sciences
VL  - vol. 8
IS  - 1
SP  - 152-155
EP  - 152-155
PB  - North Atlantic University Union NAUN
SN  - 19980140
KW  - Aluminium anodic oxidation
KW  - Design of experiments
KW  - Prediction model
N2  - The paper describes some possibilities of control of technological process of anodic aluminium oxidation based on the experimental study and investigation of the influence of chemical composition of the used electrolytes on the thickness of the formed oxide layer. The influence of individual factors acting during the anodic oxide process has been investigated and based on the experimental results the prediction model was developed by the usage of neural networks, especially the cubic neural unit. The developed prediction model determines the layer thickness at surface current density 1 A·dm-2. The reliability of the developed model is 72.53 % with predetermined tolerance range of ±2·10-3 mm.
ER  -

MICHAL, Peter, Alena VAGASKÁ, Miroslav GOMBÁR, Ján KMEC, Emil SPIŠÁK and Miroslav BADIDA. Prediction of the effect of chemical composition of electrolyte on the thickness of anodic aluminium oxide layer. \textit{International Journal of Mathematical Models and Methods in Applied Sciences}. USA: North Atlantic University Union NAUN, 2014, vol. 8, No~1, p.~152-155. ISSN~1998-0140.

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